Nvidia Corporation

Hint, Inc.

Netapp, Inc.

Hintmd

Abraham Benjamin De Waal

Michael B Diamond

David R Morey

Jerome Francis Duluk, Jr

Walter E Donovan

Thomas Quinto

Franck Diard

Lacky V Shah

Sean Jeffrey Treichler

Aubrey Eric Rankin

Muthanna Nischal Ammatanda

Dwight D Diercks

Frank Thanh Nguyen

Benjamin Eu-jin Hahr

Henry Packard Moreton

David Wyatt

John Stephen Montrym

Steven E Molnar

Emmett Michael Kilgariff

Brad W Simeral

Stephen Donald Lew

David G Reed

Karim Abdalla

Ludger Mimberg

Gary M Tarolli

Anthony Michael Tamasi

Brian D Hutsell

Christopher Thomas Cheng

Ross F Jatou

Tony Tamasi

Gary C King

Bruce R Intihar

Nick Triantos

Reddy Vijay Karthik Tummala

Laura Biersteker

Trinh Viet Ngoc Nguyen

Joe Shea

Kenneth L Hurley

In some examples, a data aggregator and anonymizer is provided for selective encryption of test data. An example data aggregator and anonymizer can perform operations including receiving first order data from a first data source, the first order data including a mix of sensitive and non-sensitive information, the sensitive information including one or more of Personally Identifiable Information (PII), Protected Health Information (PHI) and Payment Card Industry (PCI) information; receiving second order data from a second data source, the second order data including a different mix of sensitive and non-sensitive information, the sensitive information including one or more of PII, PHI, and PCI information; combining and storing the first and second order data into an aggregated data structure, the aggregated data structure including layers in which stored data resides; identifying the sensitive information; encrypting identified sensitive information stored in at least one layer of the aggregated data structure to create an anonymous body of test data; storing the anonymous body of test data in a database; and providing access to the anonymous body of test data to the first or second data source or a third-party data analyzer.

Data aggregation and anonymization in multi-tenant networks

In an example, a proxy server includes a proxy callback interface supporting a plurality of webhook channels, each channel of the plurality of webhook channels being identified by a respective webhook channel address. The proxy callback interface receives a webhook call, the webhook call including a specific webhook channel address identifying a specific webhook channel, and payload callback data. The proxy server also includes a database interface to store a callback record that includes the payload callback data in a proxy server database. The proxy server also includes a query interface to receive a callback query, the callback query identifying the specific webhook channel address. The query interface further identifies a plurality of callback records, associated with the specific webhook channel address, that were stored within the proxy server database subsequent to receipt of a previously-received callback query, and returns the plurality of callback records, responsive to the callback query.

Proxy callback interface supporting multiple webhook channels

In some embodiments, a multi-tenant loyalty program configuration platform is provided for selective configuration of loyalty programs in a multi-tenant environment. An example platform comprises a processor and a memory storing instructions which, when executed by the processor, configure the multi-tenant loyalty program configuration platform to cause presentation, in a user interface, of loyalty program options to a first tenant in the multi-tenant environment, the user interface allowing the first tenant and the multi-tenant loyalty program configuration platform to collaborate in a program configuration flow on selected program options made by the first tenant; receive, via the user interface, from the first tenant, first order data relating to a selected program configuration, specific to the first tenant, of a first loyalty program to be implemented using the first order data, the first order data including a first set of attributes relating to the first loyalty program; cause presentation, in the user interface, of loyalty program options to a second tenant in the multi-tenant environment, the user interface allowing the second tenant and the multi-tenant loyalty program configuration platform to collaborate in a program configuration flow on selected program options made by the second tenant; receive, via the user interface, from the second tenant, second order data, different from the first order data, relating to a selected program configuration, specific to the second tenant, of a second loyalty program to be implemented using the second order data, the second order data including a second set of attributes relating to the second loyalty program; store the first and second order data in a loyalty program data structure that includes loyalty program rules specific to each of the first and second tenants and the respective first and second loyalty programs; configure the first and second loyalty programs using data stored in the loyalty program data structure; and implement the configured first and second loyalty programs at the multi-tenant loyalty program configuration platform.

Multi-tenant loyalty program configuration platform for closed loop reward redemption

The present disclosure provides a multi-tenant loyalty platform for selective configuration of loyalty programs in a multi-tenant environment. An example platform comprises a processor and a memory storing instructions which, when executed by the processor, configure the multi-tenant loyalty platform to: cause presentation of loyalty program options to a first tenant in a multi-tenant environment; receive, from the first tenant, first order data relating to a selected program configuration; cause presentation of loyalty program options to a second tenant; receive, from the second tenant, second order data different from the first order data; store the first and second order data in a loyalty program data structure that includes loyalty program rules specific to each of the first and second tenants and the respective first and second loyalty programs; and configure the first and second loyalty programs using data stored in the loyalty program data structure.

Multi-tenant loyalty platform

In some embodiments, a method to generate a user interface for a subscription management system may include receiving first order data relating to a first subscription offering, receiving second order data related to a second subscription offering, combining the first and second order data into a subscription data structure that, calculating a combined one-time payment amount for both the first and second subscription offerings based on the quantity data, calculating a combined periodic monthly subscription payment amount for both the first and the second subscription offerings based on the quantity and period data, and/or causing presentation of both the combined one-time payment amount and the combined monthly subscription payment amount in the user interface for the subscription management system.

Subscription aggregation system

In some examples, a method also includes identify, using the callback query, a callback record. The method also includes providing, responsive to the callback query, the payload callback data of the callback record from a query interface to a callback client. The callback query includes a polling number, and the method further includes using the polling number to identify the callback record, detecting that the polling number corresponds to a last record number for callback records associated with the webhook channel identifier, and performing a call termination action responsive to the detecting of the correspondence between the polling number and the last record number for the callback records associated with the webhook channel identifier.

Call termination for webhook call

A proxy server has a proxy callback interface to receive a webhook call from a callback producer server of a web service, the webhook call including a webhook channel address and payload callback data. A proxy server database stores a callback record comprising the payload callback data in a proxy server database. A query interface receives a callback query from a callback consumer server, the callback query identifying the webhook channel address. The query interface further configured to identify a plurality of callback records associated with the webhook channel address stored within the proxy server database after receipt of a previous callback query from the callback consumer server, and return the plurality of callback records to the callback client responsive to the callback query.

Proxy server to handle webhook callbacks

A method to process webhook calls is described. The method comprises receiving, from a callback producer server and at a proxy callback interface of a proxy server, a webhook call comprising a webhook channel address and payload callback data. A callback record is stored in a proxy server database, the callback record comprising a sequence number and the payload callback data. A callback query is received, from a callback client and at a query interface of the proxy server, the callback query identifying the webhook channel address. The callback record is identified, using the callback query, the callback record, and provided, responsive to the callback query, from the query interface to the callback client.

Proxy to handle webhook calls

Data aggregation and presentation system

A technique for controlling the distribution of compute task processing in a multi-threaded system encodes each processing task as task metadata (TMD) stored in memory. The TMD includes work distribution parameters specifying how the processing task should be distributed for processing. Scheduling circuitry selects a task for execution when entries of a work queue for the task have been written. The work distribution parameters may define a number of work queue entries needed before a cooperative thread array' ('CTA') may be launched to process the work queue entries according to the compute task. The work distribution parameters may define a number of CTAs that are launched to process the same work queue entries. Finally, the work distribution parameters may define a step size that is used to update pointers to the work queue entries.

Controlling work distribution for processing tasks

A method and system for coordinated data execution in a computer system. The system includes a first graphics processor coupled to a first memory and a second graphics processor coupled to a second memory. A graphics bus is configured to couple the first graphics processor and the second graphics processor. The first graphics processor and the second graphics processor are configured for coordinated data execution via communication across the graphics bus.

Method and system for coordinated data execution using a primary graphics processor and a secondary graphics processor

System and methods for managing content modification messages are provided. In some embodiments, a request to send a modification message to a second user is received from a first user. The request to send the modification message pertains to a modification made to a first user-specific version corresponding to the first user and represented by a first delta. The modification message comprising a second delta is generated. The modification message includes second instructions to modify a second user-specific version to include the modification within the second user-specific version by resolving the first delta and the first user-specific version to the second user-specific version. A message indicator for the modification message is provides to a client device of the second user. The message indicator identifies the first user as the sender of the modification message.

Systems and methods for managing user-specific modifications to shared content on an individual basis

One embodiment of the present invention is a control unit for distributing packets of work to one or more consumer of works. The control unit is configured to assign at least one processing domain from a set of processing domains to each consumer included in the one or more consumers, receive a plurality of packets of work from at least one producer of work, wherein each packet of work is associated with a processing domain from the set of processing domains, and a first packet of work associated with a first processing domain can be processed by the one or more consumers independently of a second packet of work associated with a second processing domain, identify a first consumer that has been assigned the first processing domain, and transmit the first packet of work to the first consumer for processing.

System and method for using domains to identify dependent and independent operations

Growing community of inventors

San Jose, CA, United States of America

Abraham Benjamin De Waal